Biology subjects

Li, B.

Publications and source records attributed to Li, B..

At least 163 records · Page 9Linked to original sources

bioRxiv2025

Nitrogen metabolism profiling reveals cell state-specific pyrimidine synthesis pathway choice

Conventional stable isotope tracing assays track one or several metabolites. However, cells use an array of nutrients to sustain nitrogen metabolic pathways. This incongruency hampers a system level understanding of cellular nitrogen metabolism. Therefore, we created a platform to simultaneously trace 30 nitrogen isotope-labeled metabolites. This platform revealed that while primitive cells engage both de novo and salvage pyrimidine synthesis pathways, differentiated cells nearly exclusively salvage uridine despite expressing de novo pathway enzymes. This link between cell state and pyrimidine synthesis routes persisted in physiological contexts, including primary murine and human tissues and tumor xenografts. Mechanistically, we found that Ser1900 phosphorylation of CAD, the first enzyme of the de novo pathway, was enriched in primitive cells and that mimicking this modification in differentiated cells abrogated their preference for pyrimidine salvage. Collectively, we establish a method for nitrogen metabolism profiling and define a mechanism of cell state-specific pyrimidine synthesis pathway choice.

cell biology↗

bioRxiv2025

Dual Inhibition of CDK4/6 and mTORC1 Establishes a Preclinical Strategy for Translocation Renal Cell Carcinoma

PurposeTranslocation renal cell carcinoma (tRCC) is a rare and aggressive subtype of kidney cancer driven by an oncogenic fusion involving a transcription factor in the MiT/TFE gene family, most commonly TFE3. Treatment of tRCC currently lacks a clear standard of care, underscoring the pressing need to nominate new therapeutic targets with mechanistic rationale in this cancer. Experimental DesignIn this study, we applied integrative genomic approaches to identify activation of the cyclin-dependent kinase 4/6 (CDK4/6) and mammalian target of rapamycin complex 1 (mTORC1) pathways in tRCC. We tested the activity of CDK4/6 inhibitors (CDK4/6i), alone or in combination with mTORC1-selective inhibition, using in vitro and in vivo models of tRCC. ResultstRCC tumors displayed multiple genomic and transcriptional features associated with activation of the CDK4/6 and mTORC1 signaling pathways. Genetic or pharmacologic inhibition of CDK4/6 suppressed tRCC cell growth and induced cell cycle arrest in vitro but was not cytotoxic, with rapid cell regrowth observed after drug withdrawal. The mTORC1-selective inhibitor, RMC-5552, potently reduced translation of Cyclin D1, which complexes with CDK4/6 proteins to regulate G1-S cell cycle progression. Combined treatment with the CDK4/6 inhibitor, palbociclib, and RMC-5552 resulted in synergistic suppression of tRCC cell viability and increased markers of apoptosis in vitro. The combination of palbociclib and RMC-5552 in a tRCC xenograft model showed greater eOicacy than either single agent while also being well-tolerated. ConclusionsOur study indicates the therapeutic potential of combined CDK4/6 and mTORC1 inhibition in tRCC, providing the rationale for further clinical evaluation of this strategy. Translational RelevanceTranslocation renal cell carcinoma (tRCC) is a rare and aggressive form of kidney cancer that accounts for 2-5% of all RCCs in adults and around 50% of RCCs in children. tRCC lacks effective therapies and represents a significant unmet clinical need. Therapies approved for clear cell RCC (ccRCC), including VEGF/multikinase inhibitors and immune checkpoint blockade, typically show decreased efficacy in tRCC. Via an integrative genomic analysis, we nominate combined inhibition of the cyclin-dependent kinase 4/6 (CDK4/6) and mammalian target of rapamycin complex 1 (mTORC1) pathways in tRCC. We demonstrate that combining the CDK4/6 inhibitor palbociclib with the mTORC1-selective inhibitor RMC-5552 synergistically inhibits the growth of tRCC cells in vitro and of tRCC xenografts in vivo, where the combination is well-tolerated. This proof-of-concept study provides preclinical evidence supporting CDK4/6 inhibitor-based combination regimens tailored to tRCC biology, offering a foundation for future clinical studies in tRCC, which currently has no clear standard of care.

cancer biology↗

bioRxiv2025

O-GlcNAcylation-Ubiquitin Crosstalk of METTL1 Drives m7G Epitranscriptomic Collapse and Lipid Metabolic Reprogramming in Diabetic Cardiomyopathy

BackgroundMetabolic remodelling and memory in cardiomyocytes is a pivotal mechanism underlying cardiomyopathy pathogenesis. Clinical observations demonstrate persistent progression of hyperglycaemia-induced multiorgan damage following blood glucose stabilization, which is predominantly mediated through epigenetic regulation. While prior studies have identified epigenetic contributions to hyperglycaemic myocardial injury, the involvement of RNA methylation-particularly N7-methylguanosine (m7G) modification-in this regulatory network remains undefined. MethodsClinical specimens were collected from diabetic patients, and cardiomyocyte-specific METTL1 and ob/ob knockout murine models were established in parallel. Multiomic profiling (proteomics, glycoproteomics, ubiquitinomics, m7G-MeRIP sequencing, and metabolomics) was systematically conducted. The molecular mechanisms governing METTL1 regulation via O-GlcNAcylation and ubiquitination were elucidated through integrated in vitro and in vivo assays. A DUB siRNA library and computational strategies combining molecular docking with molecular dynamics simulations were employed for screening drugs targeting METTL1 O-GlcNAcylation, followed by in vivo therapeutic validation. ResultsComparative analysis of diabetic murine and human samples revealed strong METTL1 downregulation in cardiomyopathy contexts. Tamoxifen-inducible METTL1 knockout mice presented exacerbated diabetic cardiomyopathy phenotypes, confirming its cardioprotective function. Multiomic integration demonstrated that METTL1-mediated m7G modification critically regulates cardiomyocyte fatty acid metabolism. Mechanistically, hyperglycaemia was found to induce O-GlcNAcylation at the METTL1-T268 residue, suppressing m7G methyltransferase activity by 38% (p < 0.01). Subsequent investigations revealed that USP5 deubiquitinase activity is impaired under hyperglycaemic conditions, leading to accelerated METTL1 degradation. Notably, administration of the first-in-class small drug HIT106265621 significantly attenuated cardiomyopathy-associated pathological alterations in ob/ob mice in vivo. ConclusionHyperglycaemia promotes METTL1 O-GlcNAcylation, which impedes USP5-mediated deubiquitination, consequently reducing cardiomyocyte METTL1 protein levels and m7G modification. METTL1 deficiency drives diabetic cardiomyopathy progression through fatty acid metabolic dysregulation, inflammatory activation, and myocardial hypertrophy. Pharmacological inhibition of the OGT-METTL1 interaction using HIT106265621 has therapeutic potential for metabolic cardiomyopathy intervention.

pathology↗

bioRxiv2025

A Compact Two-Photon Module for Simultaneous Dual-Depth, Multi-Region in vivo Brain Imaging

Understanding how distributed brain regions interact across cortical depths is crucial for uncovering the neural basis of behavior and cognition. Two-photon microscopy (2PM) excels at imaging the superficial layer, while three-photon microscopy (3PM) penetrates deep tissues but lacks sufficient speed for capturing fast superficial dynamics. Here, we present a compact two-photon imaging module (2PIM) that seamlessly integrates with existing 3PM to achieve simultaneous, high-speed imaging of superficial and deep brain regions, while preserving the deep tissue penetration of 3PM. This dual-modality system allows for remote and independent control of imaging planes in both axial and lateral dimensions. Leveraging this technology, we discovered context-dependent modulation of hippocampal CA1 and visual cortex responses to identical tactile stimuli, layer-specific temporal dynamics in sensory cortex during air puff stimulation, and depth-divergent neuronal activity patterns in motor cortex across acute-to-chronic pain. These results highlight the systems potential for dissecting the spatiotemporal coordination of distributed brain circuits.

bioengineering↗

bioRxiv2025

Denoising 7T Structural MRI with Conditional Generative Diffusion Models

Purpose7T MRI offers ultra-high resolution and improved sensitivity for iron deposition in neurodegenerative disorders, but commonly used acquisitions are long and hence challenging, especially for elderly subjects. Efficiently denoising a short acquisition to achieve the image quality of a longer acquisition would be of translational benefit. Materials and MethodsWe introduce a conditional diffusion model derived from generative AI (a 7T Conditional Diffusion Model, 7TCDM) that was trained on native single-acquisition 2D reconstructions and referenced multi-repetition images to guide the denoising process and improve SNR and contrast. 7TCDM model was tested on 2D T2-weighted gradient-echo imaging from 19 participants, including healthy controls and individuals with mild cognitive impairment or Alzheimers disease (AD). 7TCDMs performance was assessed using Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), and comprehensive reader studies. ResultsReferencing the multi-repetition ground truth, 7TCDM improved the single-acquisition original image by 29.1% in MSE, 5.8% in PSNR, and 9.4% in SSIM, and outperformed convolutional neural network-based models in all metrics. Expert rater evaluations confirmed superior image quality, with significantly enhanced detail and contrast preservation in regions such as the hippocampi, white matter lesions, and small cortical veins. The model also demonstrated robust performance in both the concurrently acquired and publicly available 3D multi-echo gradient echo acquisitions, which the model was not trained on. ConclusionsThe 7T Conditional Diffusion Model provides high-quality denoised images from shorter scans, increasing the feasibility of scanning patients in shorter times while preserving essential anatomical and pathological details.

neuroscience↗

bioRxiv2025

Multiparametric Correlative Topographical and Volumetric Fluorescence Microscopy

Live-cell imaging of cell surface topography and intracellular architecture is essential for understanding cellular function. However, conventional approaches often involve trade-offs between resolution, invasiveness, and volumetric coverage. Here, we present an integrated Scanning Ion Conductance Microscope and single-objective Oblique Plane Microscope (SICM-OPM) system that enables simultaneous non-contact topographical imaging and volumetric fluorescence imaging within the same live cell. Beyond correlative live imaging, the platform supports nanomechanical mapping with tens-of-nanometres resolution, fluorescence-guided localised molecular delivery via the SICM, and benefits from reduced photobleaching due to light-sheet excitation. We demonstrate this platforms capabilities by visualising imipramine-induced T-tubule remodelling in live cardiomyocytes, revealing subsurface detubulation while surface morphology remains preserved. Additionally, we show precision delivery of fluorescent cargos--including dextrans and -synuclein--into diatom and mammalian cells, alongside localised stiffness mapping to evaluate mechanical responses. We believe this technique opens new avenues for correlative structural, functional, and biophysical studies in live cells, with broad relevance to cell biology, neurodegeneration, and mechanobiology.

biophysics↗

bioRxiv2025

Cortex-Wide, Cellular-Resolution Volumetric Imaging with a Modular Two-Photon Imaging Platform

Mapping cortex-wide neuronal activity at single-cell resolution has been limited by the physical trade-off between numerical aperture and field-of-view (FOV) in two-photon microscopes. We present Meso2P, a modular two-photon platform that decouples excitation and detection by introducing a lateral paraboloid fluorescence collector. The design sustains an effective NA 0.87 over a contiguous 6 x 6 mm2 FOV at high speed (2,048 x 2,048 pixels at 7.67 Hz). The modular platform can be upgraded with optional modules for simultaneous multi-plane imaging (1-4 planes at full resolution and speed), volumetric imaging (6 x 6 x 0.5 mm3, 2,048 x 2,048 x 28 voxels at 1 Hz capturing> 210,000 neurons), and holographic two-photon optogenetic stimulation for targeted perturbations. To handle the resulting large-scale data, we provide an open-source deep-learning pipeline that automates motion correction, segmentation, and spike inference. We demonstrate cortex-wide sensory responses, layer-specific network synchrony during anaesthesia, and in-vivo tracking of micro and nanoplastic distribution. Meso2P therefore provides a reproducible route to high-throughput volumetric imaging across almost the entire cortex with high detection efficiency.

neuroscience↗

bioRxiv2025

Structure and iron-transporting mechanism of brain organic cation transporter 1

Brain organic cation transporter 1 (BOCT1), also known as the solute carrier family 22 member 17 (SLC22A17) or the receptor for lipocalin-2 (LCN2), plays critical roles in health and disease. Its deficiency in mice results in early postnatal mortality and severe neurogenesis impairments. Despite its importance in physiology and pathophysiology, BOCT1s structure and transport mechanism remain elusive. Here, we integrate cryo-electron microscopy (cryo-EM), functional assays, biochemical experiments, and molecular dynamics simulations to elucidate the structure, substrate recognition, and transport mechanism of mouse BOCT1 (mBOCT1). The high-resolution cryo-EM structure reveals a distinctive N-terminal domain with a unique folding pattern dominated by a transmembrane loop atop TM6 (TML6), diverging from both known structures of SLC22 transporters and AlphaFold predictions. Notably, mBOCT1 functions as a high-capacity, low-affinity iron transporter independent of LCN2 binding. Iron transport is facilitated by a substrate gating mechanism involving TML6. These findings establish a structural basis for BOCT1s role as an independent iron transporter, enhancing our understanding of the transport mechanisms within major facilitator superfamily (MFS) transporters and providing new insights into brain iron homeostasis.

biophysics↗

bioRxiv2025

An atlas of cell type specific regulatory effects in cattle

Understanding the genetic and molecular architecture of complex traits and artificial selection is crucial for advancing sustainable precision breeding in cattle and other livestock. Yet, how genetic variation affects cellular gene expression remains elusive in cattle. Here, by integrating 8,866 bulk RNA-seq samples and 999,192 single cells of 81 cell types in 22 bovine tissues, we presented a comprehensive atlas of regulatory variants at the cell type resolution in cattle. By colocalizing with bulk-tissue expression quantitative trait loci (beQTL), we detected 57,043 novel cell-type stratified eQTL and cell-type/state interaction eQTL in 18,153 genes, which also exhibited a stronger tissue/cell-type specificity than beQTL. By examining genome-wide associations (GWAS) of 44 complex traits, these cell-resolved eQTL were colocalized with 505 (24%) additional GWAS loci compared to beQTL. Through integrating this resource with selection signatures between dairy and beef cattle, we provided tissue/cell-specific regulatory insights into cattle breeding. Overall, the current atlas of cell-type-specific regulatory variants will serve as an invaluable resource for cattle genomics and selective breeding.

genetics↗

bioRxiv2025

Predicting the Evolutionary and Functional Landscapes of Viruses with a Unified Nucleotide-Protein Language Model: LucaVirus

Predicting viral evolution and function remains a central challenge in biology, hindered by high sequence divergence and limited knowledge compared to cellular organisms. Here, we introduce LucaVirus, a multi-modal foundation model for viruses, trained on 25.4 billion nucleotide and amino acid tokens covering nearly all known viruses. LucaVirus learns biologically meaningful representations capturing relationships between sequences, protein/gene homology, and evolutionary divergence. Using these embeddings, we developed downstream models that address key virology tasks: identifying hidden viruses in genomic "dark matter", annotating enzymatic activities of uncharacterized proteins, predicting viral evolvability, and identifying antibody candidates for emerging viruses. LucaVirus achieves state-of-the-art results in three tasks and matches leading models in the fourth with one-third the parameters. Together, these findings demonstrate the power of a unified foundation model to comprehensively decode the viral world and establish LucaVirus as an efficient and versatile platform for AI-driven virology, from virus discovery to functional and therapeutic predictions.

bioinformatics↗

bioRxiv2025

MFPLI: A Computational Framework for Assessing Biological Authenticity of Protein-Ligand Interactions Using Molecular Fingerprints and Structural Features

Traditional computational drug discovery approaches struggle to accurately evaluate the biological authenticity of protein-ligand binding conformations due to inherent limitations in empirical scoring functions and force field approximations. This study proposes MFPLI - a deep learning framework integrating multimodal physicochemical features to systematically assess the biological authenticity alignment between molecular docking poses and true co-crystal structures. By establishing a continuous surface characterization system for protein-ligand interfaces, we concurrently incorporate geometric curvature features (radius, shape index) and chemical interaction fields (electrostatic potential, hydrogen-bond networks, hydrophobicity gradients). A contrastive learning architecture based on Siamese equivariant graph neural networks was developed to enable discriminative analysis between co-crystal conformations and parameter-perturbed pseudo-conformations generated through inverse docking. The five-channel fusion model demonstrates robust performance on the time-split PoseBuster validation set (AUC=0.91), with predicted Euclidean distance deviation ({Delta}E) effectively distinguishing native co-crystal conformations from aberrant docking poses in 80% of samples. Notably, 71% of {Delta}E-negative samples concentrate within the [-0.3, 0] interval, reflecting physical consistency between model predictions and conformational transition processes. This framework establishes a novel paradigm for biological authenticity assessment in virtual screening for computer-aided drug discovery through synergistic modeling of surface topology and interaction chemistry.

molecular biology↗

bioRxiv2025

Seahorse Metabolic Analysis for Human and Mouse Cardiac Organotypic Slices

The mammalian heart relies on high rates of mitochondrial oxidative phosphorylation to meet its energy demand, with fatty acids serving as the primary fuel source in healthy adult hearts. While metabolic flexibility, the ability to switch between metabolic fuel substrates, is known to change during development and cardiac diseases, standardized methods for assessing substrate usage in intact, living cardiac tissue remain limited. Here, we present a protocol that adapts the Seahorse Mito Fuel Flex Test for use in living organotypic cardiac slices. This method enables the quantification of fuel dependency and capacity for fatty acids (FA), glucose (GLC), and glutamine (GLN) by sequentially inhibiting their respective mitochondrial oxidative phosphorylation pathways with the inhibitors etomoxir, UK5099, and BPTES. First, we validated the protocol by comparing results from organotypic cardiac slices to the standard published protocol using isolated adult mouse primary cardiomyocytes. Next, we demonstrated the sensitivity of this assay by modulating metabolism with AICAR, an AMPK activator, at varying concentrations, to demonstrate improved metabolism and then metabolic suppression at higher toxic doses. Finally, we applied this protocol to organotypic cardiac slices from different chambers of human donor hearts. This protocol provides a high-throughput, physiologically relevant platform for investigating cardiac metabolism, applicable across species and adaptable to other tissue types. It enables the study of metabolic remodeling in development and disease while overcoming the limitations of traditional cell-based assays by preserving native tissue architecture, physiology, and multicellular heterogeneity.

bioengineering↗

bioRxiv2025

Global hypoperfusion leads to a mismatch in oxygen delivery and consumption in the cerebral watershed area

Despite the pivotal role of pial collaterals in maintaining cerebral blood flow during focal brain ischemia, it is largely unexplored how the microvascular blood flow and oxygenation in the watershed "pial-collateral territory" differ from those in the territory supplied by the major arteries during chronic global hypoperfusion. To answer this question, we applied 2-photon microscopy and Doppler optical coherence tomography to investigate the changes in cerebral microvascular blood flow and partial pressure of oxygen (PO2), induced by bilateral common carotid artery stenosis (BCAS). The measurements were performed in the somatosensory cortex that is supplied by the middle cerebral artery (MCA), and in the adjacent watershed area in the awake, head-restrained C57BL/6 mice, via the chronic cranial window. The results showed that the BCAS induced a larger decrease in capillary red blood cell (RBC) flux in the watershed area than in the MCA territory, especially in the subcortical white matter. Besides, PO2 in the pial collaterals was significantly lower than that in the upstream MCA segments under control conditions. However, the PO2 changes in the arteries and veins under global hypoperfusion displayed different trends in the two interrogated regions, resulting in a significant increase in oxygen extraction fraction in the watershed area. These findings suggest a mismatch between oxygen supply and demand in the watershed area due to global hypoperfusion and increased subcortical white matter vulnerability. We have also observed dilation of the pial collaterals after BCAS, which might suggest a compensatory mechanism to improve the blood flow in the watershed under hypoperfusion.

neuroscience↗

bioRxiv2025

Macrophage-derived reactive oxygen species promote Salmonella aggresome formation contributing to bacterial antibiotic persistence

In this study, we reveal that macrophage-derived reactive oxygen species (ROS) can trigger the rapid formation of Salmonella aggresomes, which substantially contribute to the increased frequency of persisters induced by phagocytosis. Salmonella containing aggresomes exhibited a dormant phenotype characterized by reduced adenosine triphosphate (ATP) levels and decreased metabolic activity. Furthermore, these dormant bacteria showed upregulated expression of Salmonella pathogenicity island 1 (SPI-1)-encoded type III secretion system (T3SS)-related genes, followed by later expression of SPI-2 T3SS-related genes when macrophages ROS production declined. Our results demonstrate that Salmonella containing aggresomes can enter a dormant state to escape antibiotic attack, while crucially maintaining the ability to resuscitate when the stress environment is improved. Research on bacterial aggresomes could potentially provide therapeutic strategies to combat bacterial antibiotic persistence. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=122 SRC="FIGDIR/small/657582v1_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@7e5f1forg.highwire.dtl.DTLVardef@970a39org.highwire.dtl.DTLVardef@204449org.highwire.dtl.DTLVardef@632c47_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2025

The intratumoral microbiome is negatively associated with malignancy in dermatofibrosarcoma protuberans

In recent years, growing evidence demonstrated the critical roles of intratumoral microbes in tumors. However, the characteristics of intratumoral microbiome in dermatofibrosarcoma protuberans (DFSP) and their associations with tumor malignancy remains unexplored. Here, 106 whole-genome sequencing (WGS) data of the paired biopsy and blood samples from 53 DFSP patients were utilized, in which we extracted high-quality non-human reads to assign microbial taxonomic annotation by Kraken2 and PlusPF database. Meanwhile, significantly elevated non-human reads, microbial abundance, and bacterial load were detected in tumor compared to blood samples. To minimize the impact of contaminants and noise, we conducted a series of filtering procedures and treated blood samples as negative controls. Notably, we found that over 98% of intratumor microbes belonged to bacteria, and that the dominant taxa and alpha-diversity of intratumoral bacteria all exhibited significantly negative correlations with Ki67 expression in tumors. Specifically, the 84 key intratumoral species were identified to be associated with the reduced tumor malignancy, as evidenced by the diminished Ki67 expression, decreased tumor volume, and fewer COL1A1-PDGFB fusion events. These findings highlighted the tumor-suppressive potential of intratumoral microbiome, thereby providing a novel insight into DFSP pathogenesis and clinical management. IMPORTANCETo our knowledge, this is the first study to explore the intratumoral microbiome in DFSP. Microbial DNA signatures could be detected by whole-genome sequencing (WGS) and enabled a comprehensive view of the microbial landscape, thus we analyzed 106 WGS data of the paired biopsy and blood samples from 53 DFSP patients. Our analysis revealed that the dominant taxa and alpha-diversity of intratumoral microbiome all showed significantly negative correlations with Ki67 expression of tumor samples. This study indicated the tumor-suppressive role of intratumoral microbiome in DFSP and highlighted the potential clinical significance in understanding DFSP pathogenesis and guiding therapeutic management strategies.

microbiology↗

bioRxiv2025

Transcriptomic analysis reveals new reparative mechanisms of SCF and GCSF - reduced neuropathology in aged APPPS1 mice

Alzheimers Disease (AD) is a neurodegenerative disease characterized by amyloid plaque deposition, tau hyperphosphorylation, neuroinflammation, and cognitive decline. Our previous studies showed that combined treatment with stem cell factor (SCF) and granulocyte colony-stimulating factor (G-CSF) reduces AD pathology in APP/PS1 mice. This study aimed to explore the molecular mechanism underlying SCF+G-CSFs therapeutic effects using transcriptomic analysis. Aged APP/PS1 mice received daily subcutaneous injections of SCF+G-CSF or vehicle for 12 days. RNA was extracted from brain tissue on day 13 for gene chip analysis. Age-matched wild-type (WT) mice served as controls. Data were analyzed using TAC, STRING v12.0, Reactome, and ShinyGO 0.77. A total of 45,037 differentially expressed genes (DEGs) were detected. Twenty-seven DEGs met a [≥]2-fold threshold in SCF+G-CSF-treated vs. vehicle-treated APP/PS1 mice; 89 DEGs met this threshold in APP/PS1 vs. WT mice. SCF+G-CSF treatment upregulated six immune-related genes (S100a8, S100a9, Ngp, Lcn2, Ltf, and Camp) associated with amyloid clearance, immune cell recruitment, and repair. Pathway analysis showed downregulation of IL-2, IL-4, IL-7, and EGFR1, and upregulation of IL-17 signaling, suggesting modulation of both innate and adaptive immunity. Notably, SCF+G-CSF downregulated several oncogenes, including Cbl, Akap9, Kcnq1ot1, and Snhg11, highlighting an overlap between cancer and AD-related pathways. SCF+G-CSF also promoted NADPH oxidase activation via Rho GTPases and showed >400-fold enrichment in metal ion sequestration, indicating potential metal chelation effects. These findings suggest that SCF+G-CSF treatment modifies immune and metabolic pathways, reduces AD pathology, and highlights new therapeutic targets involving inflammation, metal homeostasis, and oncogenic signaling.

neuroscience↗

bioRxiv2025

Locus-specific Convergent Evolution and Interchromosomal Rearrangements Contribute Type I Interferon Diversification in Amniotes

Type I interferons (IFN-Is) play essential roles in antiviral immune responses. The extensive diversification of IFN-Is into multiple subtypes and redundant gene copies has posed significant challenges for evolutionary reconstruction. To address this, we developed an integrated analytical pipeline combining the IFN-SCOPE classification model and GENE-GRADE algorithm. Through comprehensive synteny-guided phylogenetic analysis, we identified three evolutionarily conserved IFN-I loci (HACD4, MOB3B, and UBAP2) that maintain chromosomal colocalization across all major amniote lineages - mammals, squamates, and Archelosauria (turtles, crocodilians, and birds). While MOB3B-locus maintains a single IFN-{kappa} ortholog, the HACD4 (IFN-H) and UBAP2 (IFN-U) loci show lineage-specific expansion patterns: IFN-H proliferated in mammals/reptiles but remained single-copy in birds, whereas IFN-U expanded in birds but not in other lineages. Phylogenetic analysis reveals these independently evolved multicopy genes nevertheless cluster into two conserved subgroups (IFN-H2/H1 and IFN-U2/U1), suggesting convergent functional specialization. Within IFN-H and IFN-U clusters, the single-copy IFN-H2 and IFN-U2 genes - positioned at the ancestral ends of their respective genomic arrays - likely represent the progenitor sequences of each locus. Notably, among mammalian IFN-H2 genes, we identified the poorly characterized IFN-{upsilon} (rather than IFN-{beta}) as the ancestral form of mammalian IFN-H subtypes. Furthermore, we identified IFN-I genes at non-canonical loci resulting from interchromosomal duplication events in tortoises and diving ducks and provide clear evidence that interchromosomal duplications contributed to IFN-I gene diversity. These discoveries advance our understanding of the evolutionary mechanisms shaping intronless IFN-I genes in amniotes, and potentially beneficial for developing novel IFN-I based antiviral treatments through comparative immunological approaches.

bioinformatics↗

bioRxiv2025

Cross-species analysis of experimental PH at single cell resolution reveals prominent contributions Ednrb+ EC and Dhcr24+ macrophage populations

BackgroundAnimal models are used widely to study pulmonary hypertension (PH). The cell populations that respond to disease-inducing stimuli in these models and their relationship to human disease remain incompletely defined. Materials and methodThis study analyzed the relationship between several rodent models of PH and human disease at single-cell resolution. scRNA-seq was performed on lungs from mice exposed to hypoxia or Sugen/hypoxia, rats exposed to monocrotaline, and controls. A cross-species single-cell dataset was integrated with human lung cell atlas (HLCA) and single-cell dataset from idiopathic pulmonary arterial hypertension (IPAH) to identify overlapping cell subsets between experimental and human disease and species. ResultsHigh levels of overlap were found between species and models of PH, HLCA, and IPAH datasets. Cell subsets perturbed in rat and mouse PH were similar to those found in human disease, with macrophages and endothelial cells being most affected. A novel Dhcr24high macrophage subset harboring both tissue-remodeling and pro- inflammatory features was consistently increased across models. Several functionally diverse endothelial subtypes were found, including novel Ednrb+ and Nox2+ subpopulations, reflecting enhanced apoptosis, dysregulated angiogenesis and proliferation, and reactive oxygen species-mediated stress. These macrophage and endothelial subtypes expressed numerous PH drug target genes, and exhibited potential disease-specific intercellular interactions involving Angptl4, Cxcl12, and Sema3 signaling. Disease-associated changes in these populations were confirmed by immunofluorescence in lung tissues from animals and patients. ConclusionsWe established a comprehensive cross-species single-cell atlas of mainstream rodent PH models, highlighting several novel macrophage and endothelial subtypes and signaling motifs potentially contributing to human disease.

bioinformatics↗